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TRANSIENT DELETION AND THE QUALITY OF SEQUENTIAL STEADY-STATE SIMULATION

机译:暂态删除与顺序稳态模拟的质量

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摘要

In discrete event steady-state simulation, deletion of data from the initial transient phase of the simulation is usually recommended in order to reduce the bias of the final estimates. Various heuristics and tests have been proposed to aid with this. The plummeting cost of simulation, combined with uncertainties about the overall reliability of the estimation of the transient period, suggest revisiting the notion that deletion is essential, especially for longer simulations. We consider this in a sequential simulation framework.
机译:在离散事件稳态仿真中,通常建议从仿真的初始瞬态阶段删除数据,以减少最终估计的偏差。已经提出了各种试探法和测试来辅助此。仿真成本的直线下降,加上对瞬态周期估计的整体可靠性的不确定性,提示人们重新考虑删除是必不可少的概念,尤其是对于较长的仿真而言。我们在顺序仿真框架中考虑这一点。

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